Page - 209 - in Differential Geometrical Theory of Statistics
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Entropy2016,18, 433
Comments.
(i) Wetake intoaccounttheglobalprobabilitydensity p.Thenanobjectof thecategoryGM(Ī,Ī©) isdenotedby
[E,Ļ,M,D,p].
(ii) The function p isĪ-equivariant. THISISTHEGEOMETRYinthe senseofErlangenprogram.
(iii)Wehavenotusedanyargumentdepending thedimensionofmanifolds.
TheFigure5expresses coherence to localprobabilitydensitiesWeare inposition todeļ¬ne themorphismsof
the categoryGM(Ī,Ī©).
B1A1 C1 R
A B C
Ļi
Ļ Ī¦i γij
γij
Ļj
Φj
Pi Pj
p1
p1
Figure5.Localisation.
Ei E
R
Pi
p
Figure6.ProbabilityDensity.
InFigure5oneseesthatmodulothedynamicsof thegroupĪ inRmĆĪall localizationslookalike.
Figure6showthat localprobabilitydensities{pi}arebut localizationsofaglobalprobabilitydensityp
8.3.3. TheMorphismsofGM(Ī,Ī©)
Deļ¬nition 51. LetM = [E,Ļ,M,D,p] andMā = [Eā,Ļā,Mā,Dā,pā] be two objects of the category
GM(Ī,Ī©). AFB(Ī,Ī)-morphism
(ĪØĆĻ) : [E,Ļ,M,D]ā [Eā,Ļā,Mā,Dā]
209
Differential Geometrical Theory of Statistics
- Title
- Differential Geometrical Theory of Statistics
- Authors
- FrƩdƩric Barbaresco
- Frank Nielsen
- Editor
- MDPI
- Location
- Basel
- Date
- 2017
- Language
- English
- License
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03842-425-3
- Size
- 17.0 x 24.4 cm
- Pages
- 476
- Keywords
- Entropy, Coding Theory, Maximum entropy, Information geometry, Computational Information Geometry, Hessian Geometry, Divergence Geometry, Information topology, Cohomology, Shape Space, Statistical physics, Thermodynamics
- Categories
- Naturwissenschaften Physik